ArticleJMIR medical informatics2026
Digital Health-Enabled Prehospital Notification for Acute Stroke Using the Brain Saver Mobile App in Emergency Medical Transport in South Korea: Pilot Quasi-Experimental Study.
Article in JMIR medical informatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTimely access to stroke care is critical for patient prognosis. Despite the growing use of digital health strategies in stroke management, evidence supporting seamless and timely care coordination from the emergency medical services (EMS) to the emergency department (ED) remains limited. Brain Saver, a newly developed mobile app, addresses this gap by facilitating real-time data sharing between EMS personnel and ED clinicians during stroke transport.
objectiveThis study aimed to examine the potential of the Brain Saver protocol to improve existing EMS-ED workflows in emergency stroke transport by describing its functional components, implementing a pilot intervention in a real-world setting, and exploring its preliminary impact on treatment timeliness.
methodsData were collected in Pohang, South Korea, from December 2023 to April 2024 through collaboration with 2 fire stations, eight 119 EMS and safety centers, 3 hospitals, and SEERS Technology. Preintervention training and postintervention surveys were conducted among EMS personnel (n=80) and clinicians (n=24). In this pilot, patients with stroke (ICD-10 [International Classification of Diseases, Tenth Revision] codes I60-I63) in the intervention group (n=34) were transported using ambulances equipped with the Brain Saver mobile app, while the comparison group (n=129) was transported by standard ambulances to the same hospitals during the study period. With "needle" defined as any parenteral treatment, onset-to-door time and door-to-needle time were compared by group. After exact matching on age, baseline stroke severity, stroke type, and destination hospital, intervention effects were estimated using generalized estimating equations.
resultsParticipants (N=163) had a mean age of 69.4 (SD 15.2) years, 50.3% (82/163) were male, and 65.6% (107/163) had ischemic stroke. No significant baseline differences, including stroke severity, were observed between groups. The median onset-to-needle time was shorter in the intervention group than in the comparison group (114 vs 204 minutes; P=.03). In the matched analytic sample (n=91), the intervention group showed significant reductions in onset-to-needle time (Exp(β)=0.49; P=.009) and door-to-needle time (Exp(β)=0.67; P=.04) compared with the comparison group.
conclusionsIntegrating digital health into emergency stroke transport may improve care timeliness by supporting real-time prehospital notification and facilitating prompt in-hospital responses. The Brain Saver mobile app shows potential use for reducing onset-to-treatment time. Further larger-scale studies are needed to evaluate implementation fidelity and scalability.
Indexed as
Identifiers
42849893What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.